Gender: Male 
Age: 35-44
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Cohabitating 
First language: English 
Religion: Nothing 
Education: Graduate degree
Mother's education: Graduate degree
Father's education: Graduate degree
Self-assessed socioeconomic status (1-10): 5
Home: Rent 
Employment: Employed full time
Occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Mother's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Father's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Watch sports;Go to gigs;Listen to hiphop and rap;Listen to rock/indie music;Exercise;Go to museums and galleries;Do arts and crafts 
Devices used daily: Laptop;Tablet;Smartphone 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
Frequency of LLM use: Sometimes
LLMs used: ChatGPT 
LLM use cases: Translation;Brainstorming;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Digital content creation (e.g., creation of social media content);Generic chatbot conversation;Analyze data;Generate art;Completing assignments;Learning (e.g., explaining complex concepts in simple terms) 
Contexts of LLM use: Work;School/University;Entertainment;Learning;Personal 
Prompt 1: How many covers would i need to serve to turn a profit at my cafe
Prompt 2: give an example of a simple breakfast menu with costings
Prompt 3: Draw a picture of a cat eating cheese
Prompt 4: Give me a receipe using cheese, eggs, chicken and broccoli
Prompt 5: Provide a cover letter for a teaching assistant job working in a special needs school
Prompt 6: write a short story about an owl who eats peanut butter
Prompt 7: If i save 50 pounds a week how much money will i have saved in 3 years and 7 months
Prompt 8: Explain the theory of relativity 
Prompt 9: Is time travel possible
Prompt 10: If i want to lose 3 stone in 4 months how many calories should i eat a day